Welcome to ClientVPS Mirrors

CRAN: Package irls

irls: Generalised Linear Models via Iteratively Reweighted Least Squares

Generalised linear models via the iteratively reweighted least squares algorithm. The functions perform logistic, Poisson and Gamma regression (ISBN:9780412317606), either for a single model or many regression models in a column-wise fashion.

Version: 1.0
Depends: R (≥ 4.2)
Imports: Rcpp (≥ 1.0.13)
LinkingTo: Rcpp (≥ 1.0.13), RcppEigen
Suggests: Rfast, Rfast2
Published: 2025-12-11
DOI: 10.32614/CRAN.package.irls
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut], Christos Adam [aut]
Maintainer: Michail Tsagris <mtsagris at uoc.gr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: irls results

Documentation:

Reference manual: irls.html , irls.pdf

Downloads:

Package source: irls_1.0.tar.gz
Windows binaries: r-devel: irls_1.0.zip, r-release: irls_1.0.zip, r-oldrel: irls_1.0.zip
macOS binaries: r-release (arm64): irls_1.0.tgz, r-oldrel (arm64): irls_1.0.tgz, r-release (x86_64): irls_1.0.tgz, r-oldrel (x86_64): irls_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=irls to link to this page.

Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.

This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.